{
  "id": "AIBD-0025",
  "title": "Withings ScanWatch ECG QT measurement leading to congenital long QT syndrome diagnosis and beta-blocker therapy",
  "summary": "Withings ScanWatch ECGs showing prolonged QT led to a KCNH2 long-QT diagnosis and nadolol for a father and daughter (Germany).",
  "date_observed": "2024-07-04",
  "date_basis": "unassessed",
  "date_precision": "unassessed",
  "benefit_status": null,
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  "account": "An asymptomatic 39-year-old man came to the cardiology outpatient clinic of University Medical Centre Mannheim, Germany, because of QT prolongation recorded with his Withings ScanWatch. He had made its single-lead electrocardiogram (ECG) recordings out of curiosity. The watch displayed values such as QT 506 ms and QTc 457 ms. Genetic screening found a previously unpublished nonsense variant in KCNH2, establishing congenital long QT syndrome. Nadolol 40 mg daily shortened his QTc by 50–70 ms to 430 ms. His 7-year-old daughter carried the same variant with a borderline QTc of 460 ms and was also prescribed nadolol. The case report appeared on 4 July 2024 (event dates not reported).",
  "category": "benefit created",
  "unexpected": false,
  "purpose": "The ScanWatch records a single-lead ECG and, in the version described, includes a QT monitoring function. Flagging a prolonged QT interval was within what it was built to do.",
  "system": "Withings ScanWatch ECG with QT monitoring function",
  "model_version": "Withings ScanWatch (generation not stated)",
  "developer": "Withings",
  "deployer": null,
  "location": "Mannheim, Germany",
  "domain": "Healthcare (cardiology; clinical genetics)",
  "segment": "Consumer wearables",
  "benefit_type": "Improved Physical Health",
  "taxonomy_note": null,
  "registry_ids": {},
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    {
      "group": "personal",
      "depth": 3,
      "reason": "Two identifiable people (father and daughter) received a genetic long QT diagnosis and prophylactic beta-blockade against sudden arrhythmic death. A life-changing benefit, though no event was imminent."
    }
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    "statement": "The watch's automated ECG analysis displayed the QT and QTc values that prompted the clinic visit. No automatic alert is described. The report does not say who first noticed the values. Diagnosis rested on clinical ECGs and genetic testing."
  },
  "evidence": [
    {
      "kind": "case report",
      "citation": "Rudic B, Kauferstein S, Akin I, Borggrefe M (2024). Can wearables outscore general practitioners? Congenital long QT syndrome diagnosis initiated by a smartwatch. HeartRhythm Case Reports 10(10):699-701.",
      "title": "Can wearables outscore general practitioners? Congenital long QT syndrome diagnosis initiated by a smartwatch",
      "url": "https://europepmc.org/article/PMC/PMC11628798",
      "date": "2024-07-04",
      "written_by": "independent",
      "quote": "A 39-year-old otherwise healthy male patient presented in our outpatient clinic owing to QT prolongation recorded with his smartwatch (ScanWatch; Withings SA, Issy les Moulineaux, France)."
    }
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  "replication": {
    "produced_by": [
      "The wearer records ScanWatch ECGs and the QT function reports a prolonged interval",
      "The wearer or a clinician takes the displayed values to a cardiology service",
      "Clinical ECG and genetic testing confirm an inherited channelopathy"
    ],
    "must_hold": [
      "The QT function is available in the wearer's region and firmware",
      "Recordings are of adequate quality",
      "Cardiogenetic evaluation and family screening are accessible"
    ],
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  },
  "paired_incident": {
    "database": "AI Incident Database",
    "identifier": "1666",
    "title": "Oura Smart Ring Purchaser in California Alleged Company Overstated AI Sleep-Tracking Accuracy, Leading to Overpayment",
    "url": "https://incidentdatabase.ai/cite/1666",
    "severity": null,
    "group": "personal",
    "basis": "Consumer wearable inferring a health measure from sensor signals: ScanWatch's QT values proved true, while Oura's sleep-staging algorithm was allegedly less accurate than claimed, harming ring purchasers who relied on it."
  },
  "headline": "Withings ScanWatch ECGs lead to a long-QT diagnosis and nadolol",
  "metric": "the watch displayed values such as QT 506 ms and QTc 457 ms",
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    "status": "unknown",
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    "note": "The only cited source is the case report itself; no later development was found.",
    "quote": null,
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  "value": null,
  "developer_country": "France",
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    {
      "date": "2026-10-20",
      "change": "Record drafted from the cited sources.",
      "source": null,
      "editor": "AIBD"
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    {
      "date": "2026-10-20",
      "change": "Paired with AI Incident Database incident 1666 (medium confidence); severity not given by the source.",
      "source": "https://incidentdatabase.ai/cite/1666",
      "editor": "AIBD"
    },
    {
      "date": "2026-10-21",
      "change": "Benefit type set to Improved Physical Health under Trustible's full taxonomy of 23 types; it was Improved Knowledge Discovery among the six first used.",
      "source": "https://trustible.ai/post/a-framework-for-measuring-the-benefits-of-ai/",
      "editor": "AIBD"
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    {
      "date": "2026-10-21",
      "change": "Country of the developer added from the organization's own site or a registry.",
      "source": "https://en.wikipedia.org/wiki/Withings",
      "editor": "AIBD"
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    {
      "date": "2026-10-21",
      "change": "Prose pass: a rating reason, account, purpose, the system's part rewritten in shorter sentences with abbreviations expanded; facts, figures and quotations unchanged.",
      "source": null,
      "editor": "AIBD"
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  "confidence": "studied",
  "shade": "high",
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            "account": "An asymptomatic 39-year-old man came to the cardiology outpatient clinic of University Medical Centre Mannheim, Germany, because of QT prolongation recorded with his Withings ScanWatch. He had made its single-lead electrocardiogram (ECG) recordings out of curiosity. The watch displayed values such as QT 506 ms and QTc 457 ms. Genetic screening found a previously unpublished nonsense variant in KCNH2, establishing congenital long QT syndrome. Nadolol 40 mg daily shortened his QTc by 50–70 ms to 430 ms. His 7-year-old daughter carried the same variant with a borderline QTc of 460 ms and was also prescribed nadolol. The case report appeared on 4 July 2024 (event dates not reported).",
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          "basis": "Preserved from the existing AIBD record; external sources were not rechecked.",
          "record_fields": [
            "account",
            "benefit_type"
          ],
          "source_refs": []
        },
        "review_state": "record_mapped",
        "coverage": "partial"
      },
      "outcomes[].distribution": {
        "state": "not_assessed",
        "review_state": "not_assessed",
        "coverage": "partial"
      },
      "outcomes[].duration": {
        "state": "not_assessed",
        "review_state": "not_assessed",
        "coverage": "partial"
      },
      "outcomes[].id": {
        "state": "not_assessed",
        "review_state": "not_assessed",
        "coverage": "partial"
      },
      "outcomes[].stakeholder_group": {
        "state": "value_present",
        "value": {
          "kind": "record_fields",
          "fields": {
            "ratings": [
              {
                "group": "personal",
                "depth": 3,
                "reason": "Two identifiable people (father and daughter) received a genetic long QT diagnosis and prophylactic beta-blockade against sudden arrhythmic death. A life-changing benefit, though no event was imminent."
              }
            ]
          }
        },
        "provenance": {
          "kind": "legacy_record",
          "basis": "Preserved from the existing AIBD record; external sources were not rechecked.",
          "record_fields": [
            "ratings"
          ],
          "source_refs": []
        },
        "review_state": "record_mapped",
        "coverage": "partial"
      },
      "outcomes[].status": {
        "state": "not_assessed",
        "review_state": "not_assessed",
        "coverage": "partial"
      },
      "outcomes[].tradeoffs": {
        "state": "not_assessed",
        "review_state": "not_assessed",
        "coverage": "partial"
      },
      "outcomes[].unexpected": {
        "state": "value_present",
        "value": {
          "kind": "record_fields",
          "fields": {
            "unexpected": false,
            "purpose": "The ScanWatch records a single-lead ECG and, in the version described, includes a QT monitoring function. Flagging a prolonged QT interval was within what it was built to do."
          }
        },
        "provenance": {
          "kind": "legacy_record",
          "basis": "Preserved from the existing AIBD record; external sources were not rechecked.",
          "record_fields": [
            "unexpected",
            "purpose"
          ],
          "source_refs": []
        },
        "review_state": "record_mapped",
        "coverage": "partial"
      },
      "places[]": {
        "state": "value_present",
        "value": {
          "kind": "record_fields",
          "fields": {
            "location": "Mannheim, Germany",
            "developer_country": "France"
          }
        },
        "provenance": {
          "kind": "legacy_record",
          "basis": "Preserved from the existing AIBD record; external sources were not rechecked.",
          "record_fields": [
            "location",
            "developer_country"
          ],
          "source_refs": []
        },
        "review_state": "record_mapped",
        "coverage": "partial"
      },
      "purpose": {
        "state": "value_present",
        "value": {
          "kind": "record_fields",
          "fields": {
            "purpose": "The ScanWatch records a single-lead ECG and, in the version described, includes a QT monitoring function. Flagging a prolonged QT interval was within what it was built to do."
          }
        },
        "provenance": {
          "kind": "legacy_record",
          "basis": "Preserved from the existing AIBD record; external sources were not rechecked.",
          "record_fields": [
            "purpose"
          ],
          "source_refs": []
        },
        "review_state": "record_mapped",
        "coverage": "partial"
      },
      "record_dates": {
        "state": "value_present",
        "value": {
          "kind": "record_fields",
          "fields": {
            "date_observed": "2024-07-04",
            "revisions": [
              {
                "date": "2026-10-20",
                "change": "Record drafted from the cited sources.",
                "editor": "AIBD"
              },
              {
                "date": "2026-10-20",
                "change": "Paired with AI Incident Database incident 1666 (medium confidence); severity not given by the source.",
                "source": "https://incidentdatabase.ai/cite/1666",
                "editor": "AIBD"
              },
              {
                "date": "2026-10-21",
                "change": "Benefit type set to Improved Physical Health under Trustible's full taxonomy of 23 types; it was Improved Knowledge Discovery among the six first used.",
                "source": "https://trustible.ai/post/a-framework-for-measuring-the-benefits-of-ai/",
                "editor": "AIBD"
              },
              {
                "date": "2026-10-21",
                "change": "Country of the developer added from the organization's own site or a registry.",
                "source": "https://en.wikipedia.org/wiki/Withings",
                "editor": "AIBD"
              },
              {
                "date": "2026-10-21",
                "change": "Prose pass: a rating reason, account, purpose, the system's part rewritten in shorter sentences with abbreviations expanded; facts, figures and quotations unchanged.",
                "editor": "AIBD"
              }
            ]
          }
        },
        "provenance": {
          "kind": "legacy_record",
          "basis": "Preserved from the existing AIBD record; external sources were not rechecked.",
          "record_fields": [
            "date_observed",
            "revisions"
          ],
          "source_refs": []
        },
        "review_state": "record_mapped",
        "coverage": "partial"
      },
      "replication.attempts[]": {
        "state": "not_assessed",
        "review_state": "not_assessed",
        "coverage": "partial"
      },
      "replication.conditions": {
        "state": "value_present",
        "value": {
          "kind": "record_fields",
          "fields": {
            "replication": {
              "produced_by": [
                "The wearer records ScanWatch ECGs and the QT function reports a prolonged interval",
                "The wearer or a clinician takes the displayed values to a cardiology service",
                "Clinical ECG and genetic testing confirm an inherited channelopathy"
              ],
              "must_hold": [
                "The QT function is available in the wearer's region and firmware",
                "Recordings are of adequate quality",
                "Cardiogenetic evaluation and family screening are accessible"
              ],
              "echoes": []
            }
          }
        },
        "provenance": {
          "kind": "legacy_record",
          "basis": "Preserved from the existing AIBD record; external sources were not rechecked.",
          "record_fields": [
            "replication"
          ],
          "source_refs": []
        },
        "review_state": "record_mapped",
        "coverage": "partial"
      },
      "revision_history[]": {
        "state": "value_present",
        "value": {
          "kind": "record_fields",
          "fields": {
            "revisions": [
              {
                "date": "2026-10-20",
                "change": "Record drafted from the cited sources.",
                "editor": "AIBD"
              },
              {
                "date": "2026-10-20",
                "change": "Paired with AI Incident Database incident 1666 (medium confidence); severity not given by the source.",
                "source": "https://incidentdatabase.ai/cite/1666",
                "editor": "AIBD"
              },
              {
                "date": "2026-10-21",
                "change": "Benefit type set to Improved Physical Health under Trustible's full taxonomy of 23 types; it was Improved Knowledge Discovery among the six first used.",
                "source": "https://trustible.ai/post/a-framework-for-measuring-the-benefits-of-ai/",
                "editor": "AIBD"
              },
              {
                "date": "2026-10-21",
                "change": "Country of the developer added from the organization's own site or a registry.",
                "source": "https://en.wikipedia.org/wiki/Withings",
                "editor": "AIBD"
              },
              {
                "date": "2026-10-21",
                "change": "Prose pass: a rating reason, account, purpose, the system's part rewritten in shorter sentences with abbreviations expanded; facts, figures and quotations unchanged.",
                "editor": "AIBD"
              }
            ]
          }
        },
        "provenance": {
          "kind": "legacy_record",
          "basis": "Preserved from the existing AIBD record; external sources were not rechecked.",
          "record_fields": [
            "revisions"
          ],
          "source_refs": []
        },
        "review_state": "record_mapped",
        "coverage": "partial"
      },
      "sector": {
        "state": "value_present",
        "value": {
          "kind": "record_fields",
          "fields": {
            "domain": "Healthcare (cardiology; clinical genetics)",
            "segment": "Consumer wearables"
          }
        },
        "provenance": {
          "kind": "legacy_record",
          "basis": "Preserved from the existing AIBD record; external sources were not rechecked.",
          "record_fields": [
            "domain",
            "segment"
          ],
          "source_refs": []
        },
        "review_state": "record_mapped",
        "coverage": "partial"
      },
      "sources[].access_version": {
        "state": "not_assessed",
        "review_state": "not_assessed",
        "coverage": "partial"
      },
      "sources[].citation_locator": {
        "state": "value_present",
        "value": {
          "kind": "record_fields",
          "fields": {
            "evidence": [
              {
                "kind": "case report",
                "citation": "Rudic B, Kauferstein S, Akin I, Borggrefe M (2024). Can wearables outscore general practitioners? Congenital long QT syndrome diagnosis initiated by a smartwatch. HeartRhythm Case Reports 10(10):699-701.",
                "title": "Can wearables outscore general practitioners? Congenital long QT syndrome diagnosis initiated by a smartwatch",
                "url": "https://europepmc.org/article/PMC/PMC11628798",
                "date": "2024-07-04",
                "written_by": "independent",
                "quote": "A 39-year-old otherwise healthy male patient presented in our outpatient clinic owing to QT prolongation recorded with his smartwatch (ScanWatch; Withings SA, Issy les Moulineaux, France)."
              }
            ]
          }
        },
        "provenance": {
          "kind": "legacy_record",
          "basis": "Preserved from the existing AIBD record; external sources were not rechecked.",
          "record_fields": [
            "evidence"
          ],
          "source_refs": []
        },
        "review_state": "record_mapped",
        "coverage": "partial"
      },
      "sources[].id": {
        "state": "value_present",
        "value": {
          "kind": "identifiers",
          "identifiers": [
            "AIBD-0025-source-0001"
          ],
          "role": "Existing evidence items, in their original order"
        },
        "provenance": {
          "kind": "curatorial",
          "basis": "Stable within the fingerprinted record version; no source content or source review has been added.",
          "record_fields": [],
          "source_refs": []
        },
        "review_state": "record_mapped",
        "coverage": "complete"
      },
      "sources[].language": {
        "state": "not_assessed",
        "review_state": "not_assessed",
        "coverage": "partial"
      },
      "sources[].relationship": {
        "state": "value_present",
        "value": {
          "kind": "record_fields",
          "fields": {
            "evidence": [
              {
                "kind": "case report",
                "citation": "Rudic B, Kauferstein S, Akin I, Borggrefe M (2024). Can wearables outscore general practitioners? Congenital long QT syndrome diagnosis initiated by a smartwatch. HeartRhythm Case Reports 10(10):699-701.",
                "title": "Can wearables outscore general practitioners? Congenital long QT syndrome diagnosis initiated by a smartwatch",
                "url": "https://europepmc.org/article/PMC/PMC11628798",
                "date": "2024-07-04",
                "written_by": "independent",
                "quote": "A 39-year-old otherwise healthy male patient presented in our outpatient clinic owing to QT prolongation recorded with his smartwatch (ScanWatch; Withings SA, Issy les Moulineaux, France)."
              }
            ]
          }
        },
        "provenance": {
          "kind": "legacy_record",
          "basis": "Preserved from the existing AIBD record; external sources were not rechecked.",
          "record_fields": [
            "evidence"
          ],
          "source_refs": []
        },
        "review_state": "record_mapped",
        "coverage": "partial"
      },
      "sources[].upstream_sources": {
        "state": "not_assessed",
        "review_state": "not_assessed",
        "coverage": "partial"
      },
      "strategic_assessments[]": {
        "state": "not_assessed",
        "review_state": "not_assessed",
        "coverage": "partial",
        "family": "strategic assessments"
      },
      "summary": {
        "state": "value_present",
        "value": {
          "kind": "record_fields",
          "fields": {
            "summary": "Withings ScanWatch ECGs showing prolonged QT led to a KCNH2 long-QT diagnosis and nadolol for a father and daughter (Germany).",
            "account": "An asymptomatic 39-year-old man came to the cardiology outpatient clinic of University Medical Centre Mannheim, Germany, because of QT prolongation recorded with his Withings ScanWatch. He had made its single-lead electrocardiogram (ECG) recordings out of curiosity. The watch displayed values such as QT 506 ms and QTc 457 ms. Genetic screening found a previously unpublished nonsense variant in KCNH2, establishing congenital long QT syndrome. Nadolol 40 mg daily shortened his QTc by 50–70 ms to 430 ms. His 7-year-old daughter carried the same variant with a borderline QTc of 460 ms and was also prescribed nadolol. The case report appeared on 4 July 2024 (event dates not reported)."
          }
        },
        "provenance": {
          "kind": "legacy_record",
          "basis": "Preserved from the existing AIBD record; external sources were not rechecked.",
          "record_fields": [
            "summary",
            "account"
          ],
          "source_refs": []
        },
        "review_state": "record_mapped",
        "coverage": "partial"
      },
      "systems[].autonomy_permissions": {
        "state": "not_assessed",
        "review_state": "not_assessed",
        "coverage": "partial"
      },
      "systems[].component_role": {
        "state": "value_present",
        "value": {
          "kind": "text",
          "text": "The watch analyzed ECG recordings and displayed QT and QTc values."
        },
        "provenance": {
          "kind": "legacy_record",
          "basis": "Restated the mechanical task already described in the existing system and AI-role fields. No new source review is claimed.",
          "record_fields": [
            "system",
            "ai_role"
          ],
          "source_refs": []
        },
        "review_state": "record_mapped",
        "coverage": "partial"
      },
      "systems[].deployment_configuration": {
        "state": "value_present",
        "value": {
          "kind": "text",
          "text": "The participant used a Withings ScanWatch."
        },
        "provenance": {
          "kind": "legacy_record",
          "basis": "Separated the model, software, hardware, or operation already described in the existing record. No new source review is claimed.",
          "record_fields": [
            "model_version",
            "system",
            "ai_role"
          ],
          "source_refs": []
        },
        "review_state": "record_mapped",
        "coverage": "partial"
      },
      "systems[].inputs_outputs": {
        "state": "not_assessed",
        "review_state": "not_assessed",
        "coverage": "partial"
      },
      "systems[].model_name": {
        "state": "not_assessed",
        "review_state": "not_assessed",
        "coverage": "partial"
      },
      "systems[].model_version": {
        "state": "value_present",
        "value": {
          "kind": "record_fields",
          "fields": {
            "model_version": "Withings ScanWatch (generation not stated)"
          }
        },
        "provenance": {
          "kind": "legacy_record",
          "basis": "Preserved from the existing AIBD record; external sources were not rechecked.",
          "record_fields": [
            "model_version"
          ],
          "source_refs": []
        },
        "review_state": "record_mapped",
        "coverage": "partial",
        "display": {
          "answer": "Exact release not established.",
          "editor_note": ""
        }
      },
      "systems[].product_name": {
        "state": "value_present",
        "value": {
          "kind": "record_fields",
          "fields": {
            "system": "Withings ScanWatch ECG with QT monitoring function"
          }
        },
        "provenance": {
          "kind": "legacy_record",
          "basis": "Preserved from the existing AIBD record; external sources were not rechecked.",
          "record_fields": [
            "system"
          ],
          "source_refs": []
        },
        "review_state": "record_mapped",
        "coverage": "partial"
      },
      "systems[].provider": {
        "state": "value_present",
        "value": {
          "kind": "structured",
          "data": {
            "application_developer": "Withings"
          }
        },
        "provenance": {
          "kind": "legacy_record",
          "basis": "Mapped from the existing case description without a new external source review.",
          "record_fields": [
            "developer"
          ],
          "source_refs": []
        },
        "review_state": "record_mapped",
        "coverage": "partial"
      },
      "taxonomy_crosswalks[]": {
        "state": "not_assessed",
        "review_state": "not_assessed",
        "coverage": "partial"
      },
      "title": {
        "state": "value_present",
        "value": {
          "kind": "record_fields",
          "fields": {
            "title": "Withings ScanWatch ECG QT measurement leading to congenital long QT syndrome diagnosis and beta-blocker therapy",
            "headline": "Withings ScanWatch ECGs lead to a long-QT diagnosis and nadolol"
          }
        },
        "provenance": {
          "kind": "legacy_record",
          "basis": "Preserved from the existing AIBD record; external sources were not rechecked.",
          "record_fields": [
            "title",
            "headline"
          ],
          "source_refs": []
        },
        "review_state": "record_mapped",
        "coverage": "partial"
      },
      "version": {
        "state": "value_present",
        "value": {
          "kind": "identifiers",
          "identifiers": [
            "54ddaa87132a140f49ec348d1e858593a0f13c0462ab85a371d81ee001cfde88"
          ],
          "role": "SHA-256 of normalized original case data"
        },
        "provenance": {
          "kind": "curatorial",
          "basis": "Deterministic content version assigned by the local migration.",
          "record_fields": [],
          "source_refs": []
        },
        "review_state": "record_mapped",
        "coverage": "complete"
      },
      "workflow": {
        "state": "value_present",
        "value": {
          "kind": "record_fields",
          "fields": {
            "account": "An asymptomatic 39-year-old man came to the cardiology outpatient clinic of University Medical Centre Mannheim, Germany, because of QT prolongation recorded with his Withings ScanWatch. He had made its single-lead electrocardiogram (ECG) recordings out of curiosity. The watch displayed values such as QT 506 ms and QTc 457 ms. Genetic screening found a previously unpublished nonsense variant in KCNH2, establishing congenital long QT syndrome. Nadolol 40 mg daily shortened his QTc by 50–70 ms to 430 ms. His 7-year-old daughter carried the same variant with a borderline QTc of 460 ms and was also prescribed nadolol. The case report appeared on 4 July 2024 (event dates not reported).",
            "replication": {
              "produced_by": [
                "The wearer records ScanWatch ECGs and the QT function reports a prolonged interval",
                "The wearer or a clinician takes the displayed values to a cardiology service",
                "Clinical ECG and genetic testing confirm an inherited channelopathy"
              ],
              "must_hold": [
                "The QT function is available in the wearer's region and firmware",
                "Recordings are of adequate quality",
                "Cardiogenetic evaluation and family screening are accessible"
              ],
              "echoes": []
            }
          }
        },
        "provenance": {
          "kind": "legacy_record",
          "basis": "Preserved from the existing AIBD record; external sources were not rechecked.",
          "record_fields": [
            "account",
            "replication"
          ],
          "source_refs": []
        },
        "review_state": "record_mapped",
        "coverage": "partial"
      }
    },
    "summary": {
      "total": 91,
      "addressed": 91,
      "known": 33,
      "reviewed": 0,
      "record_mapped": 33,
      "not_assessed": 58,
      "complete": false,
      "by_state": {
        "value_present": 33,
        "not_reported": 0,
        "unresolved": 0,
        "not_assessed": 58,
        "not_applicable": 0,
        "withheld": 0,
        "source_unavailable": 0
      }
    }
  }
}